diff --git a/apps/api/src/db/0003_submission_public_create_time_id_idx.sql b/apps/api/src/db/0003_submission_public_create_time_id_idx.sql new file mode 100644 index 0000000..4985f73 --- /dev/null +++ b/apps/api/src/db/0003_submission_public_create_time_id_idx.sql @@ -0,0 +1,20 @@ +-- 把公开提交列表的部分索引从 (create_time) 换成 (create_time, id)。 +-- +-- 为什么要加 id:列表分页改用「offset → 游标」两步查询(见 routes/submission.ts 的 +-- paginateSubmissionRows)。create_time 由 `new Date().toISOString()` 生成,只有毫秒 +-- 精度,同毫秒的两条提交分不出先后,游标回查时上一页末行会重复出现在下一页页首。 +-- 加上 id 让排序变成全序,两步走同一个顺序,翻页结果精确。 +-- +-- 两列都是 ASC:查询 `ORDER BY create_time DESC, id DESC` 靠 Index Only Scan Backward +-- 反着扫这条索引。写成 (create_time DESC, id DESC) 反而用不上——ORDER BY 的 DESC 默认 +-- NULLS FIRST,索引的 DESC 默认 NULLS LAST,规划器认为出不了序,会退化成全量排序。 +-- +-- 锁窗口:这里是普通 CREATE INDEX(不是 CONCURRENTLY),建索引期间**阻塞写入**。 +-- 生产快照 12.3 万行 / 171MB 上实测不到 1 秒,且部署本来就在停机窗口里做,够用。 +-- 真要热更再拆成两条带 `oj2:no-transaction` 的迁移。 +-- +-- 先 DROP 再 CREATE 是安全的:两条语句在同一个事务里(migrate.ts 一条迁移一个事务), +-- 中途失败会整体回滚,不会留下「老的没了、新的没建成」的中间态。 + +DROP INDEX "submission_public_create_time_idx";--> statement-breakpoint +CREATE INDEX "submission_public_create_time_id_idx" ON "submission" USING btree ("create_time","id") WHERE "submission"."contest_id" is null; \ No newline at end of file diff --git a/apps/api/src/db/meta/0003_snapshot.json b/apps/api/src/db/meta/0003_snapshot.json new file mode 100644 index 0000000..99a3b4e --- /dev/null +++ b/apps/api/src/db/meta/0003_snapshot.json @@ -0,0 +1,3818 @@ +{ + "id": "68dd0a7f-f95a-4a66-b9ab-039369c41a5d", + "prevId": "8ac3c4e2-4f2a-4517-beca-4736784ead4e", + "version": "7", + "dialect": "postgresql", + "tables": { + "public.achievement": { + "name": "achievement", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "bigint", + "primaryKey": true, + "notNull": true, + "identity": { + "type": "byDefault", + "name": "achievement_id_seq", + "schema": "public", + "increment": "1", + "startWith": "1", + "minValue": "1", + "maxValue": 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{}, + "checkConstraints": {}, + "isRLSEnabled": false + }, + "public.user_stat": { + "name": "user_stat", + "schema": "", + "columns": { + "id": { + "name": "id", + "type": "bigint", + "primaryKey": true, + "notNull": true, + "identity": { + "type": "byDefault", + "name": "user_stat_id_seq", + "schema": "public", + "increment": "1", + "startWith": "1", + "minValue": "1", + "maxValue": "9223372036854775807", + "cache": "1", + "cycle": false + } + }, + "metrics": { + "name": "metrics", + "type": "jsonb", + "primaryKey": false, + "notNull": true, + "default": "'{}'::jsonb" + }, + "update_time": { + "name": "update_time", + "type": "timestamp with time zone", + "primaryKey": false, + "notNull": true + }, + "user_id": { + "name": "user_id", + "type": "integer", + "primaryKey": false, + "notNull": true + } + }, + "indexes": {}, + "foreignKeys": { + "user_stat_user_id_73337fc0_fk_user_id": { + "name": "user_stat_user_id_73337fc0_fk_user_id", + "tableFrom": "user_stat", + "tableTo": "user", + "columnsFrom": [ + "user_id" + ], + "columnsTo": [ + "id" + ], + "onDelete": "no action", + "onUpdate": "no action" + } + }, + "compositePrimaryKeys": {}, + "uniqueConstraints": { + "user_stat_user_id_key": { + "name": "user_stat_user_id_key", + "nullsNotDistinct": false, + "columns": [ + "user_id" + ] + } + }, + "policies": {}, + "checkConstraints": {}, + "isRLSEnabled": false + } + }, + "enums": {}, + "schemas": {}, + "sequences": {}, + "roles": {}, + "policies": {}, + "views": {}, + "_meta": { + "columns": {}, + "schemas": {}, + "tables": {} + } +} \ No newline at end of file diff --git a/apps/api/src/db/meta/_journal.json b/apps/api/src/db/meta/_journal.json index 75203f4..5458b7d 100644 --- a/apps/api/src/db/meta/_journal.json +++ b/apps/api/src/db/meta/_journal.json @@ -22,6 +22,13 @@ "when": 1787740469403, "tag": "0002_drop_django_leftovers", "breakpoints": true + }, + { + "idx": 3, + "version": "7", + "when": 1787850608174, + "tag": "0003_submission_public_create_time_id_idx", + "breakpoints": true } ] } \ No newline at end of file diff --git a/apps/api/src/db/schema.ts b/apps/api/src/db/schema.ts index 315e99f..db38f75 100644 --- a/apps/api/src/db/schema.ts +++ b/apps/api/src/db/schema.ts @@ -471,17 +471,28 @@ export const submission = pgTable("submission", { // 同上,不写 .op()。原先 pull 出来的 opclass 还串了位(contest_id 标成 timestamptz_ops、 // create_time 标成 int4_ops),那条 SQL 真拿去执行 Postgres 会直接拒绝。 index("contest_create_time_idx").using("btree", table.contestId.asc().nullsLast(), table.createTime.desc().nullsFirst()), - // 提交列表默认视图(WHERE contest_id IS NULL ORDER BY create_time DESC)专用。 + // 提交列表默认视图(WHERE contest_id IS NULL ORDER BY create_time DESC, id DESC)专用。 // 上面的 contest_create_time_idx 看着能覆盖,但 Postgres 不把 `contest_id IS NULL` // 当成能吃掉首列、从而继承第二列有序性的等值条件——把 seqscan/bitmapscan 全关掉逼它 // 也不肯用,只会走单列 contest_id 索引再全量排序。结果是每翻一页都 Parallel Seq Scan // 扫完整张表 + top-N 排序。改用部分索引后谓词由索引本身保证,排序序就是索引序。 // 生产快照(12.3 万条提交)实测:61.8ms / 18936 blocks → 0.22ms / 34 blocks。 - // 这个索引不在 Django 的 migration 里,是 OJ2 单独加的,见 src/db/0001_naive_agent_zero.sql。 - // 不写 .desc():这条带 .op(),而 .op() 会吞掉方向(见 CLAUDE.md)——写了只会让快照 - // (记 asc:false)和实际建出来的索引(ASC)对不上。单列索引本来也无所谓方向,Postgres 用 - // Index Scan Backward 服务 ORDER BY ... DESC,实测同样是 0.08ms。 - index("submission_public_create_time_idx").using("btree", table.createTime.op("timestamptz_ops")).where(sql`${table.contestId} is null`), + // 这个索引不在 Django 的 migration 里,是 OJ2 单独加的,见 src/db/0001。 + // + // 带上 id 是为了让排序成为**全序**,深翻页的游标转换(routes/submission.ts 的 + // paginateSubmissionRows)才精确。create_time 由 `new Date().toISOString()` 生成, + // 只有毫秒精度,同毫秒的两条提交靠 create_time 分不出先后:游标用 `<=` 回查时, + // 上一页的末行会重新出现在下一页页首。加上 id 之后两步用的是同一个全序,不会错位。 + // 索引从 2.3MB 涨到 6.9MB,快照实测第一步 5.7ms → 8.9ms,换精确值得。 + // + // 两列都建成默认的 ASC NULLS LAST,靠 Index Only Scan **Backward** 服务 + // `ORDER BY create_time DESC, id DESC`。别照着 ORDER BY 写成 .desc():Postgres 里 + // `ORDER BY x DESC` 默认是 NULLS FIRST,而 `CREATE INDEX ... (x DESC)` 默认是 + // NULLS LAST,两边 nulls 位置对不上,规划器就当这条索引出不了序——实测建成 + // DESC NULLS LAST 之后深翻页退化成 external merge sort(5.2MB 落盘),比不建还糟。 + // 两列同为 ASC 时整条索引反着扫就是精确的反序,所以反而是能用的那一种。 + // 这两列都 NOT NULL,nulls 位置在语义上无所谓,纯粹是规划器的匹配规则。 + index("submission_public_create_time_id_idx").using("btree", table.createTime.asc().nullsLast(), table.id.asc().nullsLast()).where(sql`${table.contestId} is null`), index("problem_user_idx").using("btree", table.problemId.asc().nullsLast().op("int4_ops"), table.userId.asc().nullsLast().op("int4_ops")), index("submission_contest_id_775716d5").using("btree", table.contestId.asc().nullsLast().op("int4_ops")), index("submission_problem_id_76847b55").using("btree", table.problemId.asc().nullsLast().op("int4_ops")), diff --git a/apps/api/src/routes/submission.ts b/apps/api/src/routes/submission.ts index 3adcb40..c899f47 100644 --- a/apps/api/src/routes/submission.ts +++ b/apps/api/src/routes/submission.ts @@ -11,7 +11,7 @@ import { submissionListSchema, submissionStatisticsSchema, } from "@oj2/contract" -import { and, count, desc, eq, ilike, inArray, isNull, sql } from "drizzle-orm" +import { and, count, desc, eq, ilike, inArray, isNull, sql, type SQL } from "drizzle-orm" import { Hono } from "hono" import { @@ -447,6 +447,59 @@ async function submissionDetail(id: string, user: AuthUser) { }) } +/** + * 提交列表取数据。深翻页不走 `LIMIT n OFFSET m`——Postgres 对 OFFSET 没有捷径,前 m 行 + * 必须真的产出再丢掉,而丢弃发生在 join 之后,每一行都白回了一次表。生产快照(10.4 万条 + * 公开提交)上最后一页实测 1258ms、碰了 95347 个 buffer。而且越早的页越慢:平时没人翻, + * 那些数据页从来不在 shared_buffers 里,全是冷读。 + * + * 拆成两步就便宜得多: + * 1. 只 select create_time / id —— 正好是 submission_public_create_time_id_idx 的两列, + * 跳过 m 行走 Index Only Scan,Heap Fetches 为 0,纯在索引页里数数; + * 2. 拿这一行当游标做 keyset 回查,只回表取 limit 行。 + * 同一页实测降到约 9ms、885 个 buffer。代价变成 O(m) 个**索引条目**而不是堆页,按快照里 + * 的索引密度外推,涨到 100 万条时最深一页仍在几十毫秒量级。 + * + * 排序必须带 id:create_time 只有毫秒精度(`new Date().toISOString()`),光靠它不是全序, + * 游标用 `<=` 回查时同毫秒的上一页末行会重复出现在下一页页首。索引已按 (create_time DESC, + * id DESC) 建好,带上 id 不会多出 Sort 节点。 + * + * 两种情况退回普通 offset:offset 为 0 时没有可跳过的行,白搭一次往返;按题号筛选时条件 + * 在 problem 表上,第一步得跟着 join、index-only 就没了——而那时结果集只剩几百条, + * offset 本来也不慢。 + */ +async function paginateSubmissionRows( + where: SQL | undefined, + limit: number, + offset: number, + filtersNeedProblem: boolean, +) { + const order = [desc(schema.submission.createTime), desc(schema.submission.id)] as const + const page = (cursor?: SQL) => + db + .select(submissionListColumns) + .from(schema.submission) + .innerJoin(schema.problem, eq(schema.submission.problemId, schema.problem.id)) + .where(cursor ? and(where, cursor) : where) + .orderBy(...order) + + if (offset === 0 || filtersNeedProblem) return page().limit(limit).offset(offset) + + const [boundary] = await db + .select({ createTime: schema.submission.createTime, id: schema.submission.id }) + .from(schema.submission) + .where(where) + .orderBy(...order) + .limit(1) + .offset(offset) + // offset 越过了结果集尾巴,这一页本来就该是空的 + if (!boundary) return [] + + return page( + sql`(${schema.submission.createTime}, ${schema.submission.id}) <= (${boundary.createTime}::timestamptz, ${boundary.id}::text)`, + ).limit(limit) +} + submissionRoutes.get("/submissions", optionalAuth, async (c) => { const limit = queryInteger(c.req.query("limit"), 10, { min: 1, max: 250 }) const offset = queryInteger(c.req.query("offset"), 0, { min: 0 }) @@ -476,9 +529,7 @@ submissionRoutes.get("/submissions", optionalAuth, async (c) => { : db.select({ value: count() }).from(schema.submission).where(where) const [totalRows, rows] = await Promise.all([ totalQuery, - db.select(submissionListColumns).from(schema.submission) - .innerJoin(schema.problem, eq(schema.submission.problemId, schema.problem.id)).where(where) - .orderBy(desc(schema.submission.createTime)).limit(limit).offset(offset), + paginateSubmissionRows(where, limit, offset, Boolean(displayId)), ]) return success(c, submissionListSchema.parse({ results: rows.map(({ submission, problem }) => submissionListItemSchema.parse({